Software Alternatives, Accelerators & Startups
Register | Login
C

Conda VS Raspberry Pi

Compare Conda VS Raspberry Pi and see what are their differences

EcholoN
Holistic service management: service, support + customer care. From Ticketing to Helpdesk, Service Desk, ITSM to Enterprise Service Management, Service Technician and Field Service Management (FSM)... featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Conda logo Conda

Binary package manager with support for environments.

Raspberry Pi logo Raspberry Pi

The Raspberry Pi is a tiny and affordable computer that you can use to learn programming through fun, practical projects. Join the global Raspberry Pi community.
Not present
  • Raspberry Pi Landing page
    Landing page //
    2021-12-28

Conda features and specs

  • Cross-Platform Package Manager
    Conda is a versatile package manager that works across multiple operating systems including Windows, macOS, and Linux, making it a universal solution for environment management.
  • Environment Management
    Conda can create, export, list, remove, and manage environments that contain different versions of Python and/or various packages, enhancing reproducibility and isolation.
  • Wide Range of Packages
    Conda supports a broad spectrum of packages not limited to Python, which means it can install software and their dependencies from the C, C++, FORTRAN, and other ecosystems.
  • Binary Package Delivery
    Packages are delivered as binaries, meaning you don't have to compile anything. This speeds up the installation process and reduces the possibility of errors.
  • Easy Dependency Resolution
    Conda automatically manages dependencies, ensuring that the required packages are installed in the correct versions and reducing compatibility issues.
  • Version Control
    It allows you to manage different versions of software and switch between them seamlessly without conflict, which is crucial for development, testing, and deployment.

Possible disadvantages of Conda

  • Large Disk Space Requirement
    Conda environments can take up a significant amount of disk space due to the inclusion of multiple versions of Python and other binaries.
  • Complexity
    While Conda is powerful, its comprehensive set of features may be overwhelming for beginners who only need simpler package management.
  • Performance Overhead
    The convenience of automated dependency resolution and environment management can sometimes come at the cost of performance, particularly during the first setup.
  • Slower Package Availability
    Newer versions of some packages may take longer to become available on Conda compared to other package managers like pip, leading to potential delays in adopting the latest features.
  • Third-Party Channels
    While Conda has its main channel, many packages are hosted on third-party channels, which can lead to inconsistencies or reliability issues.
  • Not Limited to Python
    Although this is also a strength, for users who are primarily working with Python, Conda might feel over-engineered for their needs.

Raspberry Pi features and specs

  • Affordability
    Raspberry Pi devices are very cost-effective, typically priced between $5 to $75, making them accessible for a wide range of users.
  • Size and Portability
    The compact size of a Raspberry Pi makes it easy to integrate into various projects and conducive to portable applications.
  • Versatility
    Raspberry Pi can be used for a multitude of applications ranging from educational purposes to complex IoT projects, media centers, and more.
  • Community Support
    With a large and active community, extensive documentation, and numerous tutorials available, support is readily accessible for troubleshooting and project ideas.
  • Educational Tool
    Raspberry Pi is widely used in education for teaching programming, electronics, and computer science concepts in a hands-on manner.
  • Energy Efficiency
    The Raspberry Pi consumes relatively low power, which makes it an excellent choice for always-on applications and energy-conscious users.

Possible disadvantages of Raspberry Pi

  • Limited Performance
    Despite improvements in newer models, Raspberry Pi devices still have limitations in processing power compared to full-fledged computers, which can be a bottleneck for intensive applications.
  • Storage Constraints
    The usage of micro SD cards for storage can be a limitation in terms of both speed and capacity, compared to traditional hard drives or SSDs.
  • Peripheral Dependency
    To fully utilize a Raspberry Pi, additional peripherals like keyboards, mice, monitors, and power supplies are needed, which can complicate setups and add to the overall cost.
  • Connectivity Limitations
    Though equipped with various connectivity options, the number of USB ports and network interfaces may be limited, imposing restrictions on connected devices.
  • No Built-in Real-Time Clock
    Raspberry Pi lacks a built-in real-time clock (RTC), requiring an additional RTC module for applications that need to keep track of time when powered off.
  • Software Compatibility
    Certain software and applications are not optimized for the ARM architecture of the Raspberry Pi, potentially limiting the available software and compatibility with x86 applications.

Analysis of Conda

Overall verdict

  • Yes, Conda is generally regarded as a good tool due to its versatility, efficiency in managing dependencies, and user-friendly features.

Why this product is good

  • Conda is considered good because it is a powerful package manager and environment manager that is language agnostic. It simplifies the installation of packages and dependencies across different programming languages, particularly beneficial for data science and machine learning tasks. It also handles library conflicts with ease, making it a preferred choice for managing complex software environments.

Recommended for

  • Data scientists
  • Machine learning engineers
  • Software developers using Python, R, or any other language needing isolated environments
  • Researchers requiring reproducible scientific environments
  • Anyone who frequently works with packages that have complex dependencies

Analysis of Raspberry Pi

Overall verdict

  • Raspberry Pi is generally considered a good option for hobbyists, educators, and prototypers due to its affordability and extensive community support. It is an excellent tool for learning programming, electronics, and computer science concepts.

Why this product is good

  • Raspberry Pi devices are praised for their affordability, versatility, and support from a large community. They are popular for educational purposes, DIY electronics projects, and even for use as low-cost servers or media centers. The Raspberry Pi Foundation also provides robust documentation and a wide range of tutorials that make it accessible to users of all skill levels.

Recommended for

  • Students and educators looking to teach or learn computing and programming skills.
  • Hobbyists and DIY enthusiasts interested in electronics and project building.
  • Developers looking to prototype IoT devices and small computing solutions.
  • Anyone needing a low-cost, energy-efficient computer for basic tasks.

Conda videos

No Conda videos yet. You could help us improve this page by suggesting one.

Add video

Raspberry Pi videos

+ Add

Can a Raspberry Pi 4 be used as a Desktop PC - Full test and review

More videos:

  • Review - Raspberry Pi 4 8GB Review: Should you buy it?
  • Review - The Raspberry Pi 4 Is A Gaming Beast

Category Popularity

0-100% (relative to Conda and Raspberry Pi)

Conda

Raspberry Pi

Front End Package Manager
100 100%
Front End Package Manager
0% 0
Electronics
0 0%
Electronics
100% 100
Package Manager
100 100%
Package Manager
0% 0
Operating Systems
0 0%
Operating Systems
100% 100

User comments

Share your experience with using Conda and Raspberry Pi. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Conda might be a bit more popular than Raspberry Pi. We know about 32 links to it since March 2021 and only 23 links to Raspberry Pi. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Conda mentions (32)

  • Say Hello to UV: A Fast Python Package & Project Manager Written in Rust
    If you’ve been managing Python projects long enough, you’ve probably dealt with a mess of tools: pip, pip-tools, poetry, virtualenv, conda, maybe even pdm. - Source: dev.to / about 1 month ago
  • The Simplest Data Architecture
    You can use isolated Python environments like venv or conda. If you do this, you'll have to manage your environments yourself, and also constantly switch between them to run your data engineering code vs dbt. - Source: dev.to / 8 months ago
  • Python's virtual environments
    Conda is an open-source package management system and environment management system that runs on Windows, macOS, and Linux. It is a powerful tool that allows you to create and manage virtual environments, install and update packages, and manage dependencies. Conda is particularly popular in the scientific computing community, as it provides access to a wide range of scientific computing libraries and tools. I... - Source: dev.to / 11 months ago
  • Introducing Flama for Robust Machine Learning APIs
    When dealing with software development, reproducibility is key. This is why we encourage you to use Python virtual environments to set up an isolated environment for your project. Virtual environments allow the isolation of dependencies, which plays a crucial role to avoid breaking compatibility between different projects. We cannot cover all the details about virtual environments in this post, but we encourage... - Source: dev.to / over 1 year ago
  • Ask HN: Package management for multiple modules in C++, Python, Java project?
    Conda https://docs.conda.io/en/latest/ ?? I'm not sure, but I used it to download some Python packages. It's an alternative to pip, but I'm not sure about the details. - Source: Hacker News / over 1 year ago
View more

Raspberry Pi mentions (23)

  • INFJ wanting to gift an INTP for his birthday
    INTPs are often very good at tinkering and programming so anything from http://raspberrypi.org will be a winner! They’ve got every budget covered from tiny computers for $5 all the way up to the accessories which can be bought on the websites linked on there that’ll turn your pi into a robot or sensor kit or anything really. Source: almost 2 years ago
  • Help getting my image working?
    The only thing I can get to boot on any of the 3 boards is the newest pi4 OS image on raspberrypi.org. Source: over 2 years ago
  • Help with 12 year old girl who would like to learn coding.
    Https://raspberrypi.org lots of FOSS tools and fun projects for beginners. Source: over 2 years ago
  • Please report scalpers and price-gougers
    Sure. Do what Adafruit, Sparkfun, Pihut, and the others linked from raspberrypi.org do. Source: over 2 years ago
  • Raspberry Pi CEO Eben Upton says that he expects the inventory situation to improve over time and to be completely resolved within 12 months.
    It seems disgusting when you open raspberrypi.org and be presented with slogans like "teach, learn, make" and pictures of kids learning and playing around with the boards when it was obvious what the priority was for the company (spoiler: not those kids in the pictures). Source: over 2 years ago
View more

What are some alternatives?

When comparing Conda and Raspberry Pi, you can also consider the following products

Homebrew - The missing package manager for macOS

Orange Pi - It’s an open-source single-board computer. It can run Android 4.

Python Poetry - Python packaging and dependency manager.

Banana Pi - Banana Pi is a single-board computer made in China. It can run Android, Ubuntu and Debian.

pkgsrc - pkgsrc is a framework for building over 17,000 open source software packages.

Odroid - The Odroid is a series of single-board computers and tablet computers created by Hardkernel Co.

Loading...